A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
In this paper we present a method to represent knowledge associated with a course. Course knowledge can be represented in the form of hierarchical prerequisite relation based weigh...
Learning capabilities of computer systems still lag far behind biological systems. One of the reasons can be seen in the inefficient re-use of control knowledge acquired over the...
Given the numerous knowledge representation models (KR-schemes) that have been proposed, it would be desirable to have a formal, unifying model for the description of a KR-scheme,...
Systematic discovery and exploitation of commonality across related software systems is a fundamental technical requirement for achieving successful software reuse. By examining a...
Kyo Chul Kang, Sajoong Kim, Jaejoon Lee, Kijoo Kim...